Papers
2
Total Citations
37
H-Index
2
About
Seung-Joon Yi is a leading researcher in humanoid robotics, specializing in bipedal locomotion and adaptive control for resource-constrained systems. His work addresses the fundamental challenge of enabling humanoid robots to walk reliably on uneven, unknown terrain—a critical step toward real-world deployment. In his highly cited 2010 paper (22 citations), Yi introduced an online learning algorithm that allows a bipedal robot to estimate local terrain in real time using proprioceptive and inertial sensors, combined with compliant ankle joint controllers for active probing. This approach marked a significant advance in adaptive walking without prior knowledge of the environment. Yi further contributed to the field with his 2013 study (15 citations) on hybrid walk controllers, which strategically combine the stability of Zero Moment Point (ZMP) preview control with the low-latency responsiveness of reactive controllers. This work is especially valuable for robots with limited computational resources or those operating in dynamic settings. Through these contributions, Yi has helped bridge the gap between theoretical locomotion models and practical, robust walking in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Online Learning of Uneven Terrain for Humanoid Bipedal Walking22 citations · 2010
- 2A hybrid walk controller for resource-constrained humanoid robots15 citations · 2013